6 exam sessions, from December 2022 to May 2025. Download one paper, or tick several for a ZIP or one merged PDF. Free, no sign-up.
ADT301 previous year question papers
ADT301 syllabus
This course enables the learners to understand the basic concepts of data science including data preprocessing, missing value management and data visualization. It discusses different models that can be used in classification and prediction. It also includes an introduction to Association mining and Cluster analysis. It also introduces the basics of model evaluation.
Prerequisite: Basic understanding of probability theory, linear algebra and basic programming knowledge.
Course outcomes
| CO | Outcome | Level |
|---|---|---|
| CO1 | Recall the fundamental concepts and applications of data science, and make inferences on key important pointsUnderstand | Understand |
| CO2 | Identify the concepts in data mining and analyze the different steps in data preprocessingApply | Apply |
| CO3 | Illustrate the concepts of classification methodsApply | Apply |
| CO4 | Perform association mining and analyze clusters using different methodsApply | Apply |
| CO5 | Evaluate & improve the performance of machine learning classification modelsApply | Apply |
Departments that study ADT301
- AI & Data Science (S5)
- Computer Science and Engineering (Artificial Intelligence and Data Science) (S5)
Frequently asked questions
Which KTU scheme is ADT301 in?
Foundations of Data Science (ADT301) is in the KTU 2019 scheme and is a PCC course.
How many credits is Foundations of Data Science?
Foundations of Data Science (ADT301) carries 4 credits.
Which semester is ADT301 taught in?
ADT301 is taught in S5.
Where can I download ADT301 previous year question papers?
This page lists 6 ADT301 question papers. Select them and download as a ZIP or one merged PDF. It is free and needs no sign-up.
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